NDLI: Modeling of the GNSS-R signal as a function of soil moisture and vegetation biomass

Content Provider	IEEE Xplore Digital Library
Author	Guerriero, L. Pierdicca, N. Egido, A. Caparrini, M. Paloscia, S. Santi, E. Floury, N.
Copyright Year	2013
Description	Author affiliation: STARLAB, Barcelona, Spain (Egido, A.; Caparrini, M.) \|\| IFAc, Sesto Fiorentino, Italy (Paloscia, S.; Santi, E.) \|\| DIET, Sapienza Univ., Rome, Italy (Pierdicca, N.) \|\| Tor Vergata Univ., Rome, Italy (Guerriero, L.) \|\| ESA/ESTEC, Noordwijk, Netherlands (Floury, N.)
Abstract	Very recently, it has been observed that GNSS-R can provide a significant contribution to agricultural and forestry applications, since the use of GNSS signals as sources of opportunity enables bistatic radar measurements at L-band, which showed to be sensitive to soil moisture and vegetation parameters. This perspective has been investigated in two experimental activities funded by the European Space Agency: the LEiMON and GRASS campaigns. This work has been carried out with the aim of interpreting the data collected during the two campaigns over land. This requires to model the coherent component associated to the mean surface, but at the same time the diffuse incoherent component due to roughness at wavelength scale. In presence of vegetation, both components must be taken into account. The paper presents the approach followed to develop a simulator of GNSS-R data over land, aiming to support potential applications of GNSS-R for soil moisture and biomass retrieval.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	4050
Ending Page	4053
File Size	286845
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723722
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scattering Biomass Soil Vegetation mapping Biological system modeling Sensitivity Receivers bistatic scattering model GNSS-R soil moisture biomass
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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GNSS Reflectometry as a tool to retrieve soil moisture and vegetation biomass: Experimental and theoretical activities

Grass: AN experiment on the capability of airborne GNSS-R sensors in sensing soil moisture and vegetation biomass

Theoretical study on GNSS-R vegetation biomass

A multistatic radar approach to soil moisture and vegetation monitoring at L band

Soil moisture and biomass retrieval using ALOS/PALSAR data

Exploiting GNSS signals for soil moisture and vegetation biomass retrieval

Synergy of active and passive signatures to decouple soil and vegetation effects

Optimal configurations of bistatic radar for retrieving soil moisture and vegetation biomass

A simulator prototype of Delay-Doppler Maps for GNSS reflections from bare and vegetated soils

Modeling of the GNSS-R signal as a function of soil moisture and vegetation biomass

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Synergy of active and passive signatures to decouple soil and vegetation effects

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